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The article is mainly about D-Wave's upgraded Stride hybrid solver, which pairs classical compute with quantum annealing hardware for combinatorial optimization, plus a new developer course. The performance figures (e.g., "within 0.02% of optimal" and "eightfold speedup") are vendor-reported, and the benchmark setups and comparison baselines aren't independently verified. The lung cancer study is secondary and doesn't change the core story for quantum readers.

Sources coveringQuantum Computing Report, Quantum Zeitgeist, NVIDIA, SiliconANGLE

D-Wave Enhances Stride Hybrid Solver and Releases Applied Optimization Learning Path

Quantum Computing ReportNovember 4, 20263 min read

D-Wave has upgraded its Stride hybrid solver, significantly reducing solution times and improving quality for complex optimization problems like Traveling Salesperson and Assembly Line Balancing. They've also launched a new developer curriculum, "Applied Quantum Optimization," to help users leverage their Leap quantum cloud platform. This comes as D-Wave's technology, specifically an annealing-based quantum support vector machine, demonstrated high accuracy in a lung cancer detection study, outperforming gate-based quantum methods. The post D-Wave Enhances Stride Hybrid Solver and Releases Applied Optimization Learning Path appeared first on Quantum Computing Report.

Commercial quantum annealing and computing provider D-Wave Quantum Inc. (NYSE: QBTS) has announced algorithmic upgrades to its Stride hybrid solver alongside the rollout of a three-course developer curriculum titled Applied Quantum Optimization. Available via the Leap quantum cloud platform, the enhanced solver couples classical compute resources with D-Wave’s quantum annealing…

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